| Literature DB >> 28265574 |
D Abreu1, P Sousa2, C Matias-Dias3, F J Pinto4.
Abstract
Background and Purpose. The association between smoking and CV has been proved; however smoking is still the first preventable cause of death in the EU. We aim to evaluate the potential impact of the smoke ban on the number of ACS events in the Portuguese population. In addition, we evaluate the longitudinal effects of the smoking ban several years after its implementation. Methods. We analyzed the admission rate for ACS before and after the ban using data from hospital admission. Monthly crude rate was computed, using the Portuguese population as the denominator. Data concerning the proportion of smokers among ACS patients were obtained from the NRACS. Interrupted time series were used to assess changes over time. Results. A decline of -5.8% was found for ACS crude rate after the smoking ban. The decreasing trend was observed even after years since the law. The effect of the ban was higher in men and for people over 65 years. The most significant reduction of ACS rate was found in Lisbon. Conclusions. Our results suggest that smoking ban is related to a decline in ACS admissions, supporting the importance of smoke legislation as a public health measure, contributing to the reduction of ACS rate.Entities:
Mesh:
Year: 2017 PMID: 28265574 PMCID: PMC5318631 DOI: 10.1155/2017/6956941
Source DB: PubMed Journal: Biomed Res Int Impact factor: 3.411
Figure 1Longitudinal trends for overall monthly crude rates (per 100000 adult population) of ACS admissions from January 2002 to December 2014. Prelegislation and postlegislation periods.
Results of multiple linear regression analyses to detect association between smoke-free legislation and monthly crude rates of ACS admissions per 100000.
| Prelegislation trend (change per month) | Change in trend in postlegislation period compared to prelegislation | Postlegislation trend (change per month) | |
|---|---|---|---|
| Overall | |||
| | 0.004 | −0.006 | −0.0018 |
| IC for | 0.0029; 0.0055 |
| −0.0033; −0.0004 |
| Yearly change% | 3.84 | 5.76 | 1.73 |
| Males | |||
| Β | 0.0034 | −0.0046 | −0.0012 |
| IC for | 0.0021; 0.0047 |
| −0.0028; 0.0004 |
| Yearly change% | 3.26 | 4.80 | 1.15 |
| Females | |||
| Β | 0.0017 | −0.0033 | −0.0016 |
| IC for | 0.0008; 0.0023 |
| −0.0027; −0.0004 |
| Yearly change% | 1.63 | −3.17 | −1.54 |
| Age ≥ 65 | |||
| Β | 0.0016 | −0.01352 | −0.0119 |
| IC for | −0.0018; 0.0051 |
| −0.01625; −0.0075 |
| Yearly change% | 1.54 | −12.98 | −11.42 |
| Age < 65 | |||
| Β | 0.0011 | −0.0052 | −0.0483 |
| IC for | 0.0008; 0.0014 |
| −0.1573; 0.0607 |
| Yearly change% | 1.06 | −4.99 | −4.64 |
All regression models were adjusted for seasonal effects.
Figure 2Proportion of ACS patients that are current smokers.